| 000 | 02738cam a22002655a 4500 | ||
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| 999 |
_c33017 _d33017 |
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| 001 | OCM1ssj0001819337 | ||
| 020 | _a9783319534190 | ||
| 082 | 0 | 4 | _a006.312 TR EN |
| 245 | 0 | 0 |
_aTrends in social network analysis : _binformation propagation, user behavior modeling, forecasting, and vulnerability assessment _cEdited by Rokia Missaoui, Talel Abdessalem, Matthieu Latapy |
| 260 |
_aCham : _bSpringer, _cc2017. |
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| 300 |
_axiii, 255 p. : _bill. ; _c25 cm. |
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| 490 | _aLecture notes in social networks | ||
| 505 | 0 | _a1. The Perceived Assortativity of Social Networks: Methodological Problems and Solutions -- 2. A Parametric Study to Construct Time-aware Social Profiles -- 3. A Parametric Study to Construct Time-aware Social Profiles -- 4. The DEvOTION Algorithm for Delurking in Social Networks -- 5. Social Engineering Threat Assessment using a Multi-layered Graph-based Model -- 6. Through The Grapevine: A Comparison of News in Microblogs and Traditional Media -- 7. Prediction of Elevated Activity in Online Social Media Using Aggregated and Individualized Models -- 8. Unsupervised Link Prediction Based on Time Frames in Weighted-Directed Citation Networks -- 9. An Approach to Maximize the Influence Spread in Social Networks -- 10. Energy Efficiency Analysis of the Very Fast Decision Tree Algorithm. | |
| 520 | _aThe book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field. | ||
| 650 | 0 |
_aComputer science _9898 |
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| 650 | 0 |
_aDatabase management _9580 |
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| 650 | 0 |
_aData mining _9312 |
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| 650 | 0 |
_aArtificial intelligence _9370 |
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| 700 | 1 |
_aMissaoui, Rokia. _eEdited by _939119 |
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| 700 | 1 |
_aAbdessalem, Talel. _eEdited by _939120 |
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| 700 | 1 |
_aLatapy, Matthieu. _eEdited by _939121 |
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| 856 | 4 | 0 |
_uhttp://ezproxy.uow.edu.au/login?url=https://link.springer.com/openurl?genre=book&isbn=978-3-319-53419-0 _zAccess electronically via SpringerLink ebooks - Computer Science without Lecture Notes (2017) |
| 856 | 4 | 0 |
_uhttps://uowd.box.com/s/vputfhdosh2virihawmxbswm3z4qgk21 _zLocation Map |
| 942 | _cREGULAR | ||